TY  - JOUR
PY  - 2008//
TI  - Fall-detection through vertical velocity thresholding using a tri-axial accelerometer characterized using an optical motion-capture system
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Bourke, Alan K.
A1  - O'Donovan, Karol J.
A1  - Nelson, Jason
A1  - Olaighin, Gearoid M.
SP  - 2832
EP  - 2835
VL  - 1
IS  - 
N2  - Falls in the elderly population are a major problem for today's society. The immediate automatic detection of such events would help reduce the associated consequences of falls. This paper describes the development of an accurate, accelerometer-based fall detection system to distinguish between Activities of Daily Living (ADL) and falls. It has previously been shown that falls can be distinguished from normal ADL through vertical velocity thresholding using an optical motion capture system. In this study however accurate vertical velocity profiles of the trunk were generated by simple signal processing of the signals from a tri-axial accelerometer (TA).<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/
ID  - ref1
ER  -